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theorem on embedding相关的网络例句

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The proof relies on regular approximation, the fixed point theorem, the embedding theorems, the semigroup theory and a series of complicated estimates.

然后,利用此结果,通过区域正则化逼近及半群理论获得各种估计,并给出了非齐次Liouville-Poisson模型的整体古典解。

In this paper, firstly, the embeddability of near-triangular graphs on the orientable surface is studied. By using Petersen's Theorem about 1-factor, we first prove that for a near-triangulation on the orientable surface, its geometry dual graph has a 1-factor; then after a procedure of operation leaded by the 1-factor, we show that if a graph G triangulates some orientable surface S_g, then G has a near-triangular embedding in S_h for h = g,g + 1,...,β(G/2」, where β is the Betti number of G. Hence we obtain a conclusion: A near-triangulation of the orientable surface is upper-embeddable. As a generalization, a class of near-quadrangulation is studied, and similar results are obtained.

本文首先研究了近三角剖分图的可定向曲面嵌入性质,通过运用Petersen关于1-因子的定理,首先证明了对于可定向曲面上的三角剖分图,其几何对偶图具有1-因子;然后在1-因子的导向下,通过做一系列增加亏格的手术,证明了如果一个图G三角剖分可定向曲面S_g,那么G可以近三角剖分可定向曲面S_h,这里h=g,g+1,…,「β(G/2」,β是指图G的Betti数,从而得出推论:可定向曲面上的三角剖分图是上可嵌入的,作为推广,又研究了一类近四角剖分图的可定向曲面嵌入性质,并得到类似的结论。

With the help of the Mountain-Pass Theorem lacking Palais-Smale compactness condition (PSc condition and by adoption of the best attained function of Sobolev embedding, the paper proves the existence of nontrivial solutions of two classes of critical biharmonic equations on boundary conditions by overcoming serial difficulties caused by loss of compactness due to Sobolev embedding.

本文借助于没有 PS 条件的翻山引理,并利用 Sobolev 嵌入的最佳达到函数,克服了由于 Sobolev 嵌入失紧性而带来的系列困难,证明了含临界增长的两类双调和方程边值问题非平凡解的存在性。

Based on the research work of basic theories including phase space reconstruction,embedding theorem,correlation dimension,local dynamics,Lyapunov exponents,surrogate data etc,based on the research work of general methods such as principal component analysis,correlation dimension GP algorithm,false neighbors method,nonlinear time series prediction,local prediction, adaptive prediction,neural network model,support vector machines regression model, prediction power,nonlinear detection,coarse-graining methodology,conditional entropy and so on,the framework of nonlinear time series analysis are constructed.

在对包括相空间重构、嵌入定理、关联维数、局部动力学、Lyapunov指数、替代数据(来源:A97BC论文网www.abclunwen.com)、等基本理论与其物理意义的研究和讨论基础上;在对包括主分量分析、关联维数GP算法、伪邻近点法、非线性时间序列预测、局域预测、自适应预测、神经网络模型、支持向量回归模型、预测效果、非线性检测、粗粒化方法、条件熵等非线性时间序列一般分析方法的原理和算法研究基础上;构建了新的非线性时间序列分析的理论体系,归纳总结了非线性时间序列分析的基本问题和主要研究方面。2。

Time series prediction is a very important problem in many applications and the current prediction techniques are nearly all based on the Takens' embedding theorem. Many realistic systems are parameter-varying systems, and the embedding theorems are invalid, predicting the behavior of parameter-varying systems is more difficult.

时间序列预测是一类非常重要的问题,但基本上局限于参数不可变问题的研究,而对实际问题中经常出现的更重要的参数可变系统的预测,由于构成几乎所有已有预测技术基础的Taken嵌入定理不再成立,所以这方面的研究成果极少。

For the homoclinics taking on values in the unbounded domain, in order to apply the usual "Mountain Pass " theorem, A compact embedding theorem is proved.

为克服同宿解取值于无界域而缺乏自然紧性,证明了一个紧嵌入定理,从而可以利用通常的山路引理与对称山路引理获得同宿解的存在性与多重性条件。

The model in this paper takes the form as belowThe main contents and results in this paper are as follows:In section 1, we state our main analytical results on equilibria of the above system. First, several sufficient conditions for coexistence of the steady-state are given by the standard fixed-point index theory in cone. Second, the global structure of the coexistence solutions and their local stability are established by using bifurcation theory. Third, the multiplicity, uniqueness and stability of positive steady-state solutions to this system are derived by means of perturbation theory of eigenvalues, standard regularity theory, Sobolev embedding theorem and fixed-point index theory.

本文主要有两章内容:第一章研究了该模型正平衡解的性质,可分为三部分:第一部分运用极值原理、上下解方法和锥映射不动点指标理论得到正平衡解存在的充分条件;第二部分利用分歧理论给出了平衡态系统正分歧解的结构,并讨论了局部分歧解的稳定性;第三部分利用特征值扰动理论、标准椭圆正则化理论、Sobolev嵌入定理及指标理论讨论了正平衡解的多重性、唯一性及稳定性,并讨论了参数对解的影响。

We establish several unique embedding results for 3-connected graphs on orientable surfaces which admit relatively large facial walks and representativity and hence generalize Thomassen's uniqueness theorem on LEW-embeddings.

本文给出了几个关于一般可定向曲面上嵌入图的唯一性定理。结果表明:一些具有大的面迹的可定向嵌入仍然具有唯一性。这在本质上推广了C.Thomassen在LEW-嵌入方面的工作。

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